How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Paths, active paths, and d-separation in a finite DAG
Definition
A finite directed acyclic graph (DAG) is a finite vertex set with an arrow set and no directed cycle. A path from to is a finite sequence of distinct vertices beginning at and ending at in which each consecutive pair is joined by an arrow in either direction; the arrows are not required to point along the sequence. An internal vertex of a path is a collider on that path when the two arrows on the path both point into it, and is a noncollider otherwise. A vertex is a descendant of if there is a directed path from to ; for this definition includes itself as well as its descendants.
For pairwise disjoint vertex sets , a path joining to is active given when every internal noncollider is outside and every internal collider has at least one member of in . The set d-separates and in when no path joining to is active given ; write in . The empty set of vertices is allowed for any of ; in particular d-separation is vacuous if either endpoint set is empty.
For , is obtained by deleting every arrow whose tail lies in , and by deleting every arrow whose head lies in . These are graph operations only; they do not by themselves specify a probability law under intervention.
Used by
- Faithfulness of a law to a DAG Definition
- Recursive structural causal models on finite DAGs Definition
- The ancestral moral graph of a DAG Definition
- A confounder and a conditioned collider Example
- Counterfactual identities under the front-door conditions Lemma
- D-separation is separation in the ancestral moral graph Lemma
- Every active finite route contains an active path Lemma
- The backdoor criterion implies conditional exchangeability Lemma
- DAG factorization implies the global Markov property Theorem
Dependency tree · 0 levels
Nothing. This result depends on no other item in the library.
Sources
- Judea Pearl, Causal Diagrams for Empirical Research, §2-1, pp. 671–672 (standard reference, not scraped)
- Miguel A. Hernán and James M. Robins, Causal Inference: What If, Fine Point 6.1, pp. 78–79 (standard reference, not scraped)